📌 #75 DailyLeetCodeDose Today's problem: 108. Convert Sorted Array to Binary Search Tree – 🟢 Easy This is a classic divide and conquer problem – we pick the middle element as the root, then recursively construct the left subtree from the left half of the array and the right subtree from the right half. Easy :) https://lnkd.in/eyecRNEj #DailyLeetCodeDose #LeetCode #JavaScript #Algorithms #ProblemSolving #Coding

🚀 Learning by Building: Mastering Frequency Patterns in JavaScript Today I worked on a classic algorithm problem: finding the most frequent element in an array using a HashMap (Map in JavaScript). Here’s the idea: 👉 Traverse the array 👉 Count occurrences using a Map 👉 Track the maximum frequency in real-time This approach is efficient (O(n)) and widely used in real-world scenarios like data analysis, caching, and optimization problems. 💻 Example result: Input: [1, 3, 2, 1, 4, 1, 2, 1, 5, 3] Output: { value: 1, count: 4 } I’m currently practicing patterns and strengthening my problem-solving skills step by step. 📌 Check out my full exercises here: https://lnkd.in/ej4fNeZs Consistency > Talent. #JavaScript #Algorithms #ProblemSolving #SoftwareEngineering #100DaysOfCode #CodingJourney

Today I finally understood how JavaScript actually stores data in memory — and it changed the way I look at code. Earlier, I used to just write variables and functions without thinking much about what’s happening behind the scenes. But now it makes a lot more sense: Primitive values (like numbers, strings, booleans) are stored directly in memory Reference types (like arrays and objects) are stored differently — the variable holds a reference, not the actual value That’s why things like this behave unexpectedly sometimes: Copying objects doesn’t create a real copy Changing one reference can affect another Understanding this cleared up a lot of confusion I had while debugging. Still learning, but this felt like a small breakthrough Hitesh Choudhary Piyush Garg Chai Code #JavaScript #WebDevelopment #100DaysOfCode #LearningInPublic

#day53 Headline: 0ms Runtime | Beats 100% of JavaScript Submissions 🚀 Just cleared the "Single Element in a Sorted Array" challenge on LeetCode with $O(\log n)$ time complexity and $O(1)$ space. While a simple XOR approach works in $O(n)$, the real challenge was implementing a binary search that correctly navigates the even/odd index logic to find that one unique element in logarithmic time. There's a specific kind of satisfaction in seeing that "Beats 100%" metric. It's a reminder that in software engineering, the difference between "it works" and "it's optimal" is where the real fun begins. #LeetCode #JavaScript #DataStructures #Algorithms #CodingLife #Optimization #ProblemSolving

Solved the classic Valid Parentheses problem using a stack-based approach in JavaScript. Key idea: Use a stack to track opening brackets and a hash map to validate closing pairs efficiently in O(1). Approach: Push opening brackets (, {, [ onto the stack On encountering a closing bracket, check: If stack is empty → invalid If top of stack doesn’t match → invalid At the end, stack must be empty for a valid string Optimized with: Single pass traversal → O(n) time complexity Stack space → O(n) worst case This problem reinforces a fundamental pattern: Stack + Mapping = Efficient bracket validation #JavaScript #DataStructures #Algorithms #Stack #CodingInterview #LeetCode

🚀 Just built a simple Live Name Filter using JavaScript Today I practiced DOM manipulation + events + regex and created a small project where: ✔️ User types their name in input field ✔️ Only letters (a-z, A-Z) & spaces are allowed ✔️ Invalid characters are automatically removed ✔️ Input is displayed live in a heading 💡 Concepts I used: DOM Selection (querySelector) Event Handling (input event) String methods (replace) Basic Regex ([^a-zA-Z ]) Small steps every day towards becoming a better developer 💻🔥 #JavaScript #WebDevelopment #LearningInPublic #CodingJourney #Frontend #ApnaCollege

New blog alert! 📦➡️🔥 Just published: "Array Flatten in JavaScript" – tackling nested arrays w/ native flat(), reduce, & spread. Nailed it thanks to Hitesh Choudhary sir's tips! Perfect for interviews or untangling data messes. What's your fave flatten trick? https://lnkd.in/dcCcAG9W Piyush Garg | Akash Kadlag | Suraj Kumar Jha | Shubham Waje | Jay Kadlag #chaicode #JavaScript #WebDev #100DaysOfCode #ArrayFlatten #JS Tips #Coding #Programming #Hashnode #TechBlog #LearnJavaScript

🚨 Confused between the Spread (...) and Rest (...) operator in JavaScript? Many developers mix them up. 💡 They share the same syntax but serve completely different purposes depending on where they’re used. 🔹 Spread Operator • Expands elements from arrays or objects • Commonly used for copying, merging, or passing values • Helps maintain immutability in modern JavaScript • Makes code cleaner and easier to read 🔹 Rest Operator • Collects multiple values into a single array • Mostly used in function parameters or destructuring • Useful when working with an unknown number of arguments • Helps manage flexible and dynamic data ⚡ Quick rule many developers follow: • Spread → Expands values • Rest → Collects values 📌 Same syntax. Two powerful JavaScript features. #JavaScript #WebDevelopment #FrontendDevelopment #Coding #LearnToCode #100DaysOfCode

🚀 Struggling to remember JavaScript array methods? You’re not alone. 💡 Arrays are one of the most powerful parts of JavaScript — and mastering their methods can seriously level up your coding skills. 🔹 Why Array Methods Matter • Help you write cleaner and shorter code • Make data manipulation easy and efficient • Replace complex loops with simple logic 🔹 Must-Know Categories • Adding/Removing → push, pop, shift, unshift • Transformation → map, filter • Searching → find, findIndex, includes • Aggregation → reduce • Utility → slice, splice, sort, reverse 🔹 Pro Tip ✨ 👉 If you understand map, filter, and reduce, you’re already ahead of most developers. 📌 Don’t just memorize — practice them in real projects. #JavaScript #WebDevelopment #FrontendDevelopment #Coding #LearnToCode #100DaysOfCode

🚀 Practicing Selection Sort in JavaScript Today I spent some time strengthening my understanding of sorting algorithms by implementing Selection Sort on a single array using JavaScript. 🧠 My Approach: 1. Loop through the array 2. Track the index of the smallest element 3. Use an if condition to compare and update the minimum value 4. Swap it with the current position 🖋️ Example : let arr = [23,3,41,12,2,56,15] ; and the result is : [2,3,12,15,23,41,56] 📈 Time Complexity: Best Case : O(n²) Average Case : O(n²) Worst Case : O(n²) 📌 Key Takeaway: Selection Sort is all about selection + swapping. Simple logic, but powerful for building strong foundations. 🔗 Check out my GitHub for the full code. #JavaScript #DSA #CodingPractice #Algorithms #SelectionSort #LearningJourney 😊